Publicação

Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand

Ver documento

Detalhes bibliográficos
Resumo:Indonesia and Thailand are middle-income countries within the South-East Asia region. They have well-established and growing higher education systems, increasingly focused on quality improvement. However, they fall behind regional leaders in educating people who design, develop, deploy and train data science and artificial intelligence (DS&AI) based technology, as evident from the technological market, regionally dominated by Singapore and Malaysia, while the region as a whole is far behind China. A similar situation holds also for Sri Lanka, in the South Asia region technologically dominated by India. In this paper, we describe the design of a master's level curriculum in data science and artificial intelligence using European experience on building such curricula. The design of such a curriculum is a nontrivial exercise because there is a constant trade-off between having a sufficiently broad academic curriculum and adequately meeting regional needs, including those of industrial stakeholders. In fact, findings from a gap analysis and assessment of needs from three case studies in Indonesia, Sri Lanka, and Thailand comprise the most significant component of our curriculum development process.
Autores principais:Anutariya, Chutiporn
Outros Autores:Bonsangue, Marcello; Abidin, Taufik F.; Dailey, Matthew; Fraidaki, Katerina; Gomes, Tiago Manuel Ribeiro; Hermans, Felienne; Korkua, Suratsavadee; Monteiro, João L.; Utama, Nugraha P.; Pereira, Sofia; Pinidiyaarachchi, Amalka; Pinto, Sandro; van Rijn, Jan N.; Sitompul, Opim Salim; Songpan, Wararat; Soomlek, Chitsutha; Takes, Frank; Verberne, Suzan; Wickramarachchi, Chitraka
Assunto:Artificial Intelligence Curriculum Design Data Science Higher Education
Ano:2020
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
_version_ 1866877781303885824
author Anutariya, Chutiporn
author2 Bonsangue, Marcello
Abidin, Taufik F.
Dailey, Matthew
Fraidaki, Katerina
Gomes, Tiago Manuel Ribeiro
Hermans, Felienne
Korkua, Suratsavadee
Monteiro, João L.
Utama, Nugraha P.
Pereira, Sofia
Pinidiyaarachchi, Amalka
Pinto, Sandro
van Rijn, Jan N.
Sitompul, Opim Salim
Songpan, Wararat
Soomlek, Chitsutha
Takes, Frank
Verberne, Suzan
Wickramarachchi, Chitraka
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Anutariya, Chutiporn
Bonsangue, Marcello
Abidin, Taufik F.
Dailey, Matthew
Fraidaki, Katerina
Gomes, Tiago Manuel Ribeiro
Hermans, Felienne
Korkua, Suratsavadee
Monteiro, João L.
Utama, Nugraha P.
Pereira, Sofia
Pinidiyaarachchi, Amalka
Pinto, Sandro
van Rijn, Jan N.
Sitompul, Opim Salim
Songpan, Wararat
Soomlek, Chitsutha
Takes, Frank
Verberne, Suzan
Wickramarachchi, Chitraka
author_role author
contributor_name_str_mv Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Anutariya, Chutiporn\"},{\"Person.name\":\"Bonsangue, Marcello\"},{\"Person.name\":\"Abidin, Taufik F.\"},{\"Person.name\":\"Dailey, Matthew\"},{\"Person.name\":\"Fraidaki, Katerina\"},{\"Person.name\":\"Gomes, Tiago Manuel Ribeiro\"},{\"Person.name\":\"Hermans, Felienne\"},{\"Person.name\":\"Korkua, Suratsavadee\"},{\"Person.name\":\"Monteiro, João L.\"},{\"Person.name\":\"Utama, Nugraha P.\"},{\"Person.name\":\"Pereira, Sofia\"},{\"Person.name\":\"Pinidiyaarachchi, Amalka\"},{\"Person.name\":\"Pinto, Sandro\"},{\"Person.name\":\"van Rijn, Jan N.\"},{\"Person.name\":\"Sitompul, Opim Salim\"},{\"Person.name\":\"Songpan, Wararat\"},{\"Person.name\":\"Soomlek, Chitsutha\"},{\"Person.name\":\"Takes, Frank\"},{\"Person.name\":\"Verberne, Suzan\"},{\"Person.name\":\"Wickramarachchi, Chitraka\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Anutariya, Chutiporn
Bonsangue, Marcello
Abidin, Taufik F.
Dailey, Matthew
Fraidaki, Katerina
Gomes, Tiago Manuel Ribeiro
Hermans, Felienne
Korkua, Suratsavadee
Monteiro, João L.
Utama, Nugraha P.
Pereira, Sofia
Pinidiyaarachchi, Amalka
Pinto, Sandro
van Rijn, Jan N.
Sitompul, Opim Salim
Songpan, Wararat
Soomlek, Chitsutha
Takes, Frank
Verberne, Suzan
Wickramarachchi, Chitraka
datacite.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-01-09T14:00:27Z
datacite.date.embargoed.fl_str_mv 2023-01-09T14:00:27Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Artificial Intelligence
Curriculum Design
Data Science
Higher Education
datacite.titles.title.fl_str_mv Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
dc.contributor.none.fl_str_mv Universidade do Minho
dc.creator.none.fl_str_mv Anutariya, Chutiporn
Bonsangue, Marcello
Abidin, Taufik F.
Dailey, Matthew
Fraidaki, Katerina
Gomes, Tiago Manuel Ribeiro
Hermans, Felienne
Korkua, Suratsavadee
Monteiro, João L.
Utama, Nugraha P.
Pereira, Sofia
Pinidiyaarachchi, Amalka
Pinto, Sandro
van Rijn, Jan N.
Sitompul, Opim Salim
Songpan, Wararat
Soomlek, Chitsutha
Takes, Frank
Verberne, Suzan
Wickramarachchi, Chitraka
dc.date.Accepted.fl_str_mv 2020-01-01T00:00:00Z
dc.date.available.fl_str_mv 2023-01-09T14:00:27Z
dc.date.embargoed.fl_str_mv 2023-01-09T14:00:27Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/81638
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv PAEE Association
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Artificial Intelligence
Curriculum Design
Data Science
Higher Education
dc.title.fl_str_mv Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description Indonesia and Thailand are middle-income countries within the South-East Asia region. They have well-established and growing higher education systems, increasingly focused on quality improvement. However, they fall behind regional leaders in educating people who design, develop, deploy and train data science and artificial intelligence (DS&AI) based technology, as evident from the technological market, regionally dominated by Singapore and Malaysia, while the region as a whole is far behind China. A similar situation holds also for Sri Lanka, in the South Asia region technologically dominated by India. In this paper, we describe the design of a master's level curriculum in data science and artificial intelligence using European experience on building such curricula. The design of such a curriculum is a nontrivial exercise because there is a constant trade-off between having a sufficiently broad academic curriculum and adequately meeting regional needs, including those of industrial stakeholders. In fact, findings from a gap analysis and assessment of needs from three case studies in Indonesia, Sri Lanka, and Thailand comprise the most significant component of our curriculum development process.
dirty 0
eu_rights_str_mv openAccess
format conferencePaper
fulltext.url.fl_str_mv https://prod-dspace.uminho.pt/bitstreams/a219bd38-5a9b-4e54-acd7-a9c3f944f262/download
id rum_83f72b8cfc33feb49faaba3743efdf74
identifier.url.fl_str_mv https://hdl.handle.net/1822/81638
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/81638
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Anutariya, Chutiporn
Bonsangue, Marcello
Abidin, Taufik F.
Dailey, Matthew
Fraidaki, Katerina
Gomes, Tiago Manuel Ribeiro
Hermans, Felienne
Korkua, Suratsavadee
Monteiro, João L.
Utama, Nugraha P.
Pereira, Sofia
Pinidiyaarachchi, Amalka
Pinto, Sandro
van Rijn, Jan N.
Sitompul, Opim Salim
Songpan, Wararat
Soomlek, Chitsutha
Takes, Frank
Verberne, Suzan
Wickramarachchi, Chitraka
publishDate 2020
publisher.none.fl_str_mv PAEE Association
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engPAEE AssociationporIndonesia and Thailand are middle-income countries within the South-East Asia region. They have well-established and growing higher education systems, increasingly focused on quality improvement. However, they fall behind regional leaders in educating people who design, develop, deploy and train data science and artificial intelligence (DS&AI) based technology, as evident from the technological market, regionally dominated by Singapore and Malaysia, while the region as a whole is far behind China. A similar situation holds also for Sri Lanka, in the South Asia region technologically dominated by India. In this paper, we describe the design of a master's level curriculum in data science and artificial intelligence using European experience on building such curricula. The design of such a curriculum is a nontrivial exercise because there is a constant trade-off between having a sufficiently broad academic curriculum and adequately meeting regional needs, including those of industrial stakeholders. In fact, findings from a gap analysis and assessment of needs from three case studies in Indonesia, Sri Lanka, and Thailand comprise the most significant component of our curriculum development process.application/pdfporBuilding a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and ThailandAnutariya, ChutipornBonsangue, MarcelloAbidin, Taufik F.Dailey, MatthewFraidaki, KaterinaGomes, Tiago Manuel RibeiroHermans, FelienneKorkua, SuratsavadeeMonteiro, João L.Utama, Nugraha P.Pereira, SofiaPinidiyaarachchi, AmalkaPinto, Sandrovan Rijn, Jan N.Sitompul, Opim SalimSongpan, WararatSoomlek, ChitsuthaTakes, FrankVerberne, SuzanWickramarachchi, ChitrakaHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf2183-13782023-01-09T14:00:27Z20202023-01-03T14:45:47Z2020-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/81638http://purl.org/coar/access_right/c_abf2open accessArtificial IntelligenceCurriculum DesignData ScienceHigher Education269246 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/a219bd38-5a9b-4e54-acd7-a9c3f944f262/download
spellingShingle Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
Anutariya, Chutiporn
Artificial Intelligence
Curriculum Design
Data Science
Higher Education
status SINGLETON
subject.fl_str_mv Artificial Intelligence
Curriculum Design
Data Science
Higher Education
title Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
title_full Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
title_fullStr Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
title_full_unstemmed Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
title_short Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
title_sort Building a needs-based curriculum in data science and artificial intelligence: case studies in Indonesia, Sri Lanka, and Thailand
topic Artificial Intelligence
Curriculum Design
Data Science
Higher Education
topic_facet Artificial Intelligence
Curriculum Design
Data Science
Higher Education
url https://hdl.handle.net/1822/81638
visible 1